搜索资源列表
MSE_calculation
- 最小二乘算法，最小均方误差等算法的MSE的计算，MATLAB代码
mmse.rar
- 解相关及最小均方误差和传统多用户检测器的比较,Decorrelating and MMSE and traditional multi-user detector comparison
MMSE
- 最小均方误差估计（MMSE）语音增强算法，算法简单有效，无残余音乐噪声-Minimum mean square error estimation (MMSE) speech enhancement algorithm is simple and effective, non-residual musical noise
MMSE-MUD
- 改算法描述了基于最小均方误差的多用户信号检测-MMSE,MUD,CDMA
MUD
- 在DS-spread spectrum系统中,噪声为加性高斯白噪声,传统单用户检测,线性解相关多用户检测和最小均方误差多用户检测的性能比较-In the DS-spread spectrum system, the noise is additive white Gaussian noise, the traditional single-user detection, the linear decorrelating multiuser detector and minimum mean-sq
LPC-matlab-zixianguang
- 用自相关法求使信号s均方预测误差为最小的预测系数 -Autocorrelation and the signal s mean square prediction error for the smallest prediction coefficients
BBasedonLMSlea
- 基于LMS(最小均方误差算法)的自适应滤波的源程序序，基于matlab ，经测试可直接使用。 -Based on the LMS (least mean square error algorithm) adaptive filtering of the source sequence, based on Matlab, has been tested and can be used directly.
minimum-mean-square-error-algorithm
- 自适应滤波算法（最小均方误差算法）matlab源码程序-Adaptive filtering algorithm Matlab source program (minimum mean square error algorithm)
BP-neural-network-algorithm
- BP神经网络算法的matlab代码,本程序根据训练好的网络文件预测新的数据文件，得到均方误差，并画出预测数据和原数据的对比-BP neural network algorithm Matlab code, the procedures under the trained network file to predict new data file, the mean square error and draw the comparison of the predicted data and the
kaerman
- 用MATLAB实现的卡尔曼滤波，根据有用信号和干扰噪声的统计特性（自相关函数或功率谱），以线性最小均方误差（MSE），能最大程度的滤除干扰噪声，提取有用信号。-Kalman filter using MATLAB, based on the statistical properties of the useful signal and interference noise (autocorrelation function or power spectrum), linear minimum m
tp2_program
- 用Matlab仿真一个发端4天线，收端6天线的V-BLAST系统.接收端分别使用ZF（迫零），MMSE（最小均方误差），ML（最大似然）和SIC（串行干扰消除）算法，分析比较各个算法下的误比特率。-Matlab simulation of an originator with 4 antennas, antenna receiving end 6 V-BLAST system. Receiving end were using ZF (zero forcing), MMSE (minimum m
Matlab
- 雷达信号处理 阵列波束形成 最小均方误差 采样协方差矩阵求逆 Capon波束形成-Radar Signal Processing
LMS
- 最小均方误差LMS算法的MATLAB实现代码基本 代码-LMS basic code
MATLAB
- MATLAB仿真一个系统，包括信源、信源编码、差错控制编码、信道、差错控制解码、信源解码、求误码率以及均方误差。-MATLAB simulation of a system, including source, source coding, error control coding, channel, error control decoding, source decoding, seek error rate and mean square error.
MIMO
- 在matlab的环境下，实现MIMO检测功能，包括最大似然检测（ML），最小均方误差（MMSE）检测和迫零（ZF）检测-In the matlab environment, to achieve MIMO detection, including maximum likelihood detection (ML), minimum mean square error (MMSE) detection and zero-forcing (ZF) detection
1
- 基于傅里叶级数的信号分解编写一个matlab函数，参数有：脉高、脉宽、余弦信号项数。该函数使用指定项数的余弦信号来逼近（合成）指定的矩形脉冲信号，计算并返回有限项逼近时合成波形与实际矩形脉冲信号的均方误差值。-Based on Fourier series of signal decomposition write a matlab function, the parameters are: pulse height, width, number of items cosine signal.
jaitei
- 在matlab环境中自动识别连通区域的大小,最小均方误差（MMSE）的算法，包括最小二乘法、SVM、神经网络、1_k近邻法。- Automatic identification in the matlab environment the size of the connected area, Minimum mean square error (MMSE) algorithm, Including the least squares method, the SVM, neural network
APA，VSSLMS
- matlab平台下实现APA和VSSLMS算法，变步长最小均方误差算法。(Matlab platform to achieve APA and VSSLMS algorithm, variable step size minimum mean square error algorithm.)
MSE_PSNR
- 采用MATLAB实现图像的PSNR（峰值信噪比）以及MSE（均方误差）的实现(Realization of PSNR (peak signal to noise ratio) and MSE (mean square error) realization of image with MATLAB)
lms
- 基于LMS算法的均衡器，使用MATLAB仿真，最小均方误差均衡中的最小均方算法（LMS）的matlab程序(Equalizer based on LMS algorithm)